Genome-Wide Association Analysis and Genetic Parameters for Egg Production Traits in Peking Ducks

Author:

Zhou Jun1,Yu Jiang-Zhou1,Zhu Mei-Yi1,Yang Fang-Xi2,Hao Jin-Ping2,He Yong3,Zhu Xiao-Liang3,Hou Zhuo-Cheng1,Zhu Feng1ORCID

Affiliation:

1. National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China

2. Beijing Nankou Duck Breeding Technology Co., Ltd., Beijing 102202, China

3. Cherry Valley Breeding Technology Co., Ltd., Beijing 100088, China

Abstract

Egg production traits are crucial in the poultry industry, including age at first egg (AFE), egg number (EN) at different stages, and laying rate (LR). Ducks exhibit higher egg production capacity than other poultry species, but the genetic mechanisms are still poorly understood. In this study, we collected egg-laying data of 618 Peking ducks from 22 to 66 weeks of age and genotyped them by whole-genome resequencing. Genetic parameters were calculated based on SNPs, and a genome-wide association study (GWAS) was performed for these traits. The SNP-based heritability of egg production traits ranged from 0.09 to 0.54. The GWAS identified nine significant SNP loci associated with AFE and egg number from 22 to 66 weeks. These loci showed that the corresponding alleles were positively correlated with a decrease in the traits. Moreover, three potential candidate genes (ENSAPLG00020011445, ENSAPLG00020012564, TMEM260) were identified. Functional enrichment analyses suggest that specific immune responses may have a critical impact on egg production capacity by influencing ovarian function and oocyte maturation processes. In conclusion, this study deepens the understanding of egg-laying genetics in Peking duck and provides a sound theoretical basis for future genetic improvement and genomic selection strategies in poultry.

Funder

National Key R&D Program of China

National Natural Science Foundation of China

China Agriculture Research System of MOF and MARA

Publisher

MDPI AG

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